ANALISIS TINGKAT AKURASI MODEL-MODEL PREDIKSI KEBANGKRUTAN UNTUK MEMPREDIKSI VOLUNTARY AUDITOR SWITCHING (Studi pada perusahaan manufaktur yang terdaftar di BEI)

Abstract

The aim of the study is to test the degree of accuracy of bankruptcy prediction models to predict voluntary auditor switching, and at the same time the study also examines differencetiation in accuracy among the models. In this study, five bankruptcy prediction
models are used, the model consist of Altman Zâ€-Score modification, Olson Y-score, Zmijewski X-Score, G-Score Grover, and Springate S-Score.
The study consist of 432 companies are listing on Indonesia Stock Exchange during the years 2008-2011. The data are drawn from the Annual Financial Statements, IDX Fact Book, and the Indonesian Capital Market Directory. The hypothesis is examined by One Way ANOVA with level of significance 5%. The results indicate no differencing between the accuracy of bankruptcy prediction among the models in predict the company undertake voluntary decision of switching auditors. However, the result shows that models Grover G - Score is the most high in predicting of accuracy ratings. The implication of this study is for auditor to consider the model to design the substantif test in audit activities.

 

Keywords: Altman Zâ€-Score modification, Ohlson Y-Score, Zmijewski X-Score, G-Score Grover, Springate S-Score, voluntary switching auditors.